Now showing items 21-31 of 31

  • Semantically-enhanced pre-filtering for context-aware recommender systems 

    Codina Busquet, Víctor; Ceccaroni, Luigi (ACM Press. Association for Computing Machinery, 2013)
    Conference report
    Restricted access - publisher's policy
    Several research works have demonstrated that if users' ratings are truly context-dependent, then Context-Aware Recommender Systems can outperform traditional recommenders. In this paper we present a novel contextual ...
  • Sistema de recomanació de pel·lícules basat en IA 

    Casellas Bosch, Eduard (Universitat Politècnica de Catalunya, 2017-06-23)
    Bachelor thesis
    Restricted access - confidentiality agreement
  • Sistema de recomanació de tractaments mèdics per a pacients amb malalties respiratòries 

    Trassera, Aleix (Universitat Politècnica de Catalunya, 2018-04)
    Bachelor thesis
    Open Access
    El projecte consisteix a realitzar una aplicació que doni suport a pacients amb malalties respiratòries combinant tèecniques de Machine Learning i Gamification. Tracta d'una prova de concepte en forma d'aplicaciò d'escriptori ...
  • Sistema de recomanació per a un supermercat online 

    Sincraian, Petru Rares (Universitat Politècnica de Catalunya, 2018-01)
    Bachelor thesis
    Restricted access - confidentiality agreement
    Covenantee:  Ulabox
  • Sistema de verificación y recomendación de usuarios 

    Roig Hernández, Jonatan (Universitat Politècnica de Catalunya, 2018-06-25)
    Bachelor thesis
    Restricted access - confidentiality agreement
    Covenantee:  Family Community
  • Un sistema escalable per a recomanacions en temps real 

    Catarineu Morales, Alex (Universitat Politècnica de Catalunya, 2013-01-22)
    Master thesis (pre-Bologna period)
    Open Access
    L'objectiu principal del projecte és el desenvolupament d'una llibreria que permeti crear sistemes recomanadors escalables, eficients i que s'adaptin en temps real als gustos dels usuaris. Un cop implementada la llibreria, ...
  • Social review-based recommender systems from theory to practice 

    Capdevila Pujol, Joan (Universitat Politècnica de Catalunya, 2014-06-26)
    Master thesis
    Open Access
    Social Recommender Systems were born with the goal to mitigate the current information overload caused by the birth of Social Networks among other causes. They have enabled Internet actors (e.g. users, web browsers, sensors, ...
  • Toward a collective intelligence recommender system for education 

    Meza, Jaime; Simó Mezquita, Ester; Monguet Fierro, José María (International Association of Technology, Education and Development (IATED), 2017)
    Conference report
    Open Access
    The development of Information and Communication Technology (ICT), have revolutionized the world and have moved us into the information age, however the access and handling of this large amount of information is causing ...
  • Towards trust-aware recommendations in social networks 

    Lumbreras Carrasco, Alberto (Universitat Politècnica de Catalunya, 2012-06)
    Master thesis
    Open Access
    Recommender systems have been strongly researched within the last decade. With the emergence and popularization of social networks a new fi eld has been opened for social recommendations. Introducing new concepts such as ...
  • Urban context detection and context-aware recommendation via networks of "humans as sensors" 

    Álvarez Napagao, Sergio; Tejeda Gómez, José Arturo; Oliva Felipe, Luis Javier; Garcia Gasulla, Dario; Codina Busquet, Víctor; Gómez Sebastià, Ignasi; Vázquez Salceda, Javier (Springer, 2015)
    Conference report
    Open Access
    The wide adoption of smart mobile devices makes the concept of human as a sensor possible, opening the door to new ways of solving recurrent problems that occur in everyday life by taking advantage of the information these ...
  • User Interaction in Group Recommender Systems 

    Pascual Milego, Jordi (Universitat Politècnica de Catalunya, 2014-06-30)
    Master thesis
    Open Access
    The project goal is the study and development of specific techniques for obtaining user preferences from several interaction mechanisms with the objective of making recommendations in a conversational group recommender ...